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BUFFER DE CORRIDA CON EDTA 10X PARA SECUENCIACION EN EQUIPO 3130XL GENETIC ANALYZER PRESENTACION FRASCO CON 25 MILILITROS

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RECORD SUMMARY ocds-0ud2q6-1039

Total amount

20,926.4

Number of contracts

1

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN belonging to ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

PLANNING

No data

CALL FOR TENDERS

Government agency

ADMINISTRACIÓN PORTUARIA INTEGRAL DE DOS BOCAS

Buying unit

DIRECCIÓN DE ADMINISTRACIÓN

Call type

LICITACION PUBLICA INTERNACIONAL (open)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code 1039

Title

BUFFER DE CORRIDA CON EDTA 10X PARA SECUENCIACION EN EQUIPO 3130XL GENETIC ANALYZER PRESENTACION FRASCO CON 25 MILILITROS

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Supplier(s)

Carlos Ramiro Domínguez ,

SANDOVAL FLORES ALICIA ,

LETTER SHOP INTERNATIONAL S.A. DE C.V. ,

SERVICIO TECNICO RF S.A. DE C.V. ,

PROVEEDORA NACIONAL DE MATERIAL DE CURACION S A DE C V ,

Comercia Formel S.A. de C.V. ,

TK COMERCIO ACTUAL S.A. DE C.V. ,

GRUPO DIFUSIÓN CIENTÍFICA S.A. DE C.V. ,

Paúl Manuel Contreras Castillo ,

ABALAT S.A. DE C.V.

Amount

20,926.4 pesos mexicanos

Award status

active

Signature date

13 de enero de 2015

Execution period

13 de enero de 2015 to 31 de diciembre de 2015

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx
See awardNotice 2 on official site www.insp.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

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                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-1039")

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                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-1039')   

                        data = json.loads(response.read())

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                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-1039')